TWI792101B - Data Quantification Method Based on Confirmed Value and Predicted Value - Google Patents

Abstract

A data quantification method based on a definite value and a predicted value, comprising the following steps: the data quantification device collects from the information management device the definite value of each period that has been set with the current date as the reference for the previous interval, and the definite value with the current date The data corresponding to the forecasted value and confirmed value of the base current year, and the forecasted value of each period of the subsequent period set based on the current date; collect the provided values that can be compared with the forecasted value and confirmed value, and then calculate the benchmark value for comparison ;Through the comparison between the determined value of each period in the previous period, the determined value of each period in the current year, and the forecast value of each period in the subsequent period and the reference value for comparison, for each period of the current year, previous period and subsequent period in each period, assign Weighted values to quantify data by period and interval.

Description

Data Quantification Method Based on Confirmed Value and Predicted Value

The invention relates to a data quantification method based on a definite value and a predicted value.

As a new digital business strategy, financial technology (Fintech) comes to market as new and valuable financial services. Financial technology is a new generation of financial technology that can restructure the financial industry from electronic settlement to asset management, from personal financial transactions to crowdfunding, and is also defined as having the ability to innovate products and services provided by traditional financial services Start-up companies in the technology center of financial financial services and intelligent information technology.

While accumulating data for financial service customers, banks want to provide new customer experience and create new value based on data analysis. One of these new values is the development of new investment customers. In order to improve the traditional high-cost customer management methods, the flexible use of social media (Social Media) technology allows consumers to create and circulate valuable information for customers, thereby maintaining customers in the long tail (long-tail) As well as making new customer development costs efficient, fintech, especially broker-based digital or robo-advisors, can also reduce costs beyond existing high-cost customer investment advice. Efforts to grasp the investment tendency of customers belonging to the long-tail group and recommend investment products at an effective cost.

In addition, with the recent development of information and communication technology, various data, for example, techniques for estimating present or future data based on past data are being developed. For example, we are providing a service that predicts and predicts current or future actual performance based on past actual performance data.

However, in order to provide the above-mentioned services, quantitative methods for various data are necessary, and although relevant research is ongoing, the actual situation is still very little.

[Prior Art Document] (Patent Document 1) Korean Registered Patent No. 10-1913591 (registered on 2018.10.25.)

The present invention provides a data quantification method based on the definite value and the predicted value, which determines the value of each period of the previous interval based on the current date, the predicted value and definite value of each period of the interval including the current date, and the subsequent interval Collect forecast values for each period, and assign weighted values to the collected forecast values, confirmed values, and reference values for comparison. By doing this, the data is quantified, thereby improving the ease of data management and analysis.

In addition, the present invention provides a data quantification method based on the definite value and the predicted value. By providing the quantified data in the form of a graph, the user can easily recognize complex data.

In addition, the present invention provides a data quantification method based on definite values and predicted values, and improves the proximity of data analysis to users by providing comparison charts that correspond to relevant data related to the data. The chart for contains the charts in Quantitative Data Charts.

The problems to be solved by the present invention are not limited to the above-mentioned matters, and those having ordinary knowledge to which the present invention pertains can clearly understand other problems not mentioned to be solved based on the following description.

In order to solve the above-mentioned problems to be solved, the data quantification method based on the definite value and the predicted value according to the embodiment of the present invention may include the following steps: the data quantification device collects and communicates with at least two or more information management devices The determined values of each period that have been set for the previous period based on the current date, the predicted value and determined value of the current year based on the current date, and the predicted values of each period in the subsequent period that has been set based on the current date Data; collect provided values that can be compared with predicted values and confirmed values, and then calculate at least one benchmark value for comparison based on them; use the determined values of each period in the previous period, the determined value of each period in the current year, and the subsequent period. The comparison between the predicted value of each period and the reference value for comparison assigns a weighted value to each period of the current year of each period, the period before and after the period, and quantifies the data by period and period by this method.

According to an embodiment of the present invention, the quantification step may include the following steps: calculating the average value of each period or each interval by using the determined values of each period in the previous interval, the determined values of each period in the current year, and the predicted values of each period in the subsequent interval; When the calculated average value is greater than the reference value for comparison, a negative weighting value is assigned, and when the calculated average value is less than or equal to the reference value for comparison, a positive weighting value is assigned, so as to calculate the previous interval, the current year and the following intervals. period score.

According to an embodiment of the present invention, the data quantification step may also include the following steps: calculating the total score of the previous interval, the current year, and the subsequent interval based on the scores of the previous interval, the current year, and the subsequent interval; using the aggregated score and Quantitative charts are generated for each period score of the previous interval, the current year, and the subsequent interval.

According to an embodiment of the present invention, the data quantification step may further include the steps of: obtaining externally provided relevant data related to the data; and generating a comparative graph including a graph corresponding to the relevant data in the quantitative graph.

According to the embodiment of the present invention, the collected data are actual performance forecast value and confirmed value, the provided value for comparison is the current net profit and operating profit, and the relevant data is an index correlation chart.

According to an embodiment of the present invention, the step of generating the reference value for comparison is to collect the provided value by analyzing the data provided by the media that discloses the data related to the provided value on the Internet, and then generate the reference value for comparison based on the collected provided value. Reference value.

According to the problem-solving means of the present invention described above, the definite value of each period of the previous interval based on the current date, the predicted value and definite value of each period of the interval including the current date, and the predicted value of each period of the subsequent interval are collected, Ease of data management and analysis can be improved by quantifying data by assigning weighted values to the collected predicted values, confirmed values, and reference values for comparison.

In addition, according to the problem-solving means of the present invention described above, by providing quantitative data in the form of a graph, the user can easily recognize complicated data, thereby improving accessibility.

In addition, according to the aforementioned problem-solving means of the present invention, the proximity of data analysis to the user is improved by providing a graph for comparison, wherein the graph for comparison is a graph corresponding to the relevant data related to the data included in the quantification. Charts in infographics.

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The following detailed description is provided to help the overall understanding of the method, device, and/or system described in this specification. However, this is merely an example, and the present invention is not limited thereto.

In describing the embodiments of the present invention, if it is judged that the detailed description of the related known technology of the present invention may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. In addition, the terms described later may differ depending on the user's or the user's intention or practice, etc., as terms defined in consideration of the functions of the present invention. Therefore, its definition should be defined on the basis of the whole content. The terms used in the detailed description are for describing examples of the present invention, and should not be limited by any means. Expressions of the singular form include the meaning of the plural form as long as they are not clearly used differently. Expressions such as "comprising" or "having" in this specification refer to certain characteristics, numbers, steps, operations, elements, a part or combination thereof, and cannot be interpreted as excluding one or more than one Existence or possibility of other characteristics, numbers, steps, operations, elements, parts or combinations thereof.

Next, an apparatus and method for quantifying data based on definite values and predicted values will be described with reference to the drawings.

FIG. 1 is a diagram showing an overall configuration of a data quantification system based on a definite value and a predicted value according to an embodiment of the present invention.

As shown in FIG. 1 , the data quantification system can be composed of a plurality of information management devices 100 and data quantification devices 200 connected to each other via a network. The recommended point payment device and method will be described below.

The information management side device 100 is used as a device for managing data corresponding to the predicted value and the determined value of the data quantification device 200, as an example, it may be a computing device managed by a securities company, a school, a company that manages financial statements, etc. But not limited to this.

That is, the information management device 100 can manage predicted values and definite values for each period set before and after the current year, and provide the predicted values and definite values to the data quantification device 200 . Specifically, the information management device 100 can not only manage the periods that have been set in the previous year based on the current year, such as the determined values of each quarter, the predicted values of each quarter in the current year based on the determined values, and the predicted values of each quarter in the next year. etc. In the current year, the predicted value can also be changed to a confirmed value based on the quarterly settlement.

For example, when setting the current reference date of December 31, 2019 as a reference, the information management device 100 can not only set it based on the current date reference (hereinafter referred to as "current reference date"), but also based on the determined values of each quarter of the current year. Quarterly forecast values for the next fiscal year can be managed and managed, and the finalized values of the previous year can be managed based on the current base date.

In addition, the information management device 100 can change the predicted value to the definite value based on the predicted value of each quarter in the next year reaching the quarter of the next year.

In the embodiment of the present invention, the information management device 100 can transmit the above-mentioned data, that is, the predicted value and the determined value, to the data quantification device 200 in real time.

In addition, according to the embodiment of the present invention, although the set period has been described in terms of quarters, it can also be described in terms of days, weeks, months, years, etc., and is not limited thereto. That is, the set period can be determined by the data quantification device 200 .

In addition, in the embodiment of the present invention, the information management device 100 may provide at least one or more provided values for comparison. For example, when the information management device 100 provides data corresponding to predicted values and certain values related to actual performance, it may provide operating profit and current net profit as provided values, and may provide provided values such as the realization rate of research and development, etc. The provided values provide data corresponding to predicted values and confirmed values related to research and development.

In the embodiment of the present invention, the provided value is obtained from the information management device 100 as an example, but the data quantification device 200 can also collect and provide the value through big data analysis. Specifically, the data quantification device 200 may collect and provide values based on data published on a website (a website operated by a stock market analyst, etc.) or on the Internet related to data corresponding to predicted values and confirmed values related to actual performance.

The data quantification device 200 calculates an average value based on the provided value obtained from a plurality of information management devices 100 and the number of information managers who provided the provided value, and sets the average value as a reference value for comparison, and passes the set comparison value. A weighted value is assigned to the comparison between the reference value and the determined value and predicted value for the set period, and the score for each period can be calculated in this way. Specifically, the data quantification device 200 assigns a set negative weighting value (-a) when the reference value for comparison is greater than the determined value (predicted value) for each period, thereby calculating the score for each period. When the reference value for comparison is less than or When it is equal to the determined value (predicted value) of each period, a positive weighting value (a) is assigned to calculate the score for each period.

In addition, the data quantification device 200 may calculate the total score for each year by using the score for each period to calculate the total score for the corresponding year. Specifically, the data quantification device 200 can calculate the total score of the current year by using the quarterly scores of the current year, calculate the total score of the previous year by using the quarterly scores of the previous year, and use the quarterly scores of the next year Scores can be used to calculate an aggregated score for the following year.

In addition, the data quantification device 200 can not only generate and provide quantified charts based on the scores of each period and the total scores of each year, but also provide data that is correlated with the data (hereinafter referred to as "related data") and quantify The comparison between the optimized charts can compare the dynamic data of the related data changes.

The data quantification device 200 can provide a chart using the cumulative score of the sum of the points of each period in the period and the score of the period in the period according to the period set by the user, and can provide the relevant data in the period set by the user to be reflected in the chart Chart for comparison.

In the embodiment of the present invention, although it is exemplified that the provided value is obtained from the information management device 100, the data quantification device 200 may also collect and provide the value through big data analysis. Specifically, the data quantification device 200 may collect and provide values based on data published on a website (a website operated by a stock market analyst, etc.) or on the Internet related to data corresponding to predicted values and confirmed values related to actual performance.

For this reason, as shown in FIG. 2 , the data quantification device 200 according to the embodiment of the present invention may include: a linkage part 210 for linkage with the information management device 100; The connected information management device 100 receives the data and stores it in the database 202; the reference value generating part 230 generates a reference value for comparison based on the provided value obtained from the information management device 100; the score calculation part 240 uses the stored The data in the database 202 and the reference value for comparison are used to calculate the scores of each period based on the set weighted value; the quantification part 250, which uses the scores of each period to generate a quantitative graph; and the data analysis part 260, which not only provides reflection and quantitative It is a comparative chart of the data related to the chart, and also provides the comparison result data.

In the embodiment of the present invention, in order to collect and provide values, the linkage unit 210 can be linked with various media on the Internet, such as research and development management media, media using stock market analysts for information management, internal bodies operated by groups, etc., through linkage. The data managed by each media is collected, and the provided value can be obtained by analyzing the collected data. In this case, the reference value generation unit 230 may calculate the reference value for comparison based on the sum of the number of media providing the provided value and the provided value.

A procedure in which the data quantification device 200 having the above-mentioned configuration quantifies data composed of predicted values and confirmed values will be described with reference to FIG. 3 .

FIG. 3 is a flowchart illustrating a process of quantifying data of predicted values and determined values by the data quantification device 200 according to an embodiment of the present invention.

For the sake of illustration, the period is a quarter and the current base date is December 31, 2019 as an example.

As shown in FIG. 3 , the data quantification device 200 obtains the determined values of the previous year, that is, each quarter of 2018, the determined values of each quarter of the current year, and the next year, that is, each quarter of 2020, from multiple information management devices 100 through the linkage unit 210. The provision of the predicted value is then stored in the database 202 (step S300).

At the same time, the data quantification device 200 collects the provided value related to the actual performance and used as a reference value through linkage with the information management device 100 or various media, that is, current net profit and operating profit related data (step S302).

Thereafter, the data quantification device 200 calculates the average value of the collected provided values, and sets the average value as a reference value for comparison (step S304 ).

At the same time, the data quantification device 200 calculates the current annual average of each quarter for the definite value of the current year, the previous annual average of each quarter for the definite value of the previous year, and the lower quarterly average of the forecast value for the next year. One-year average value, etc. (step S306).

Then, the data quantification device 200 judges whether or not the current annual average in the first quarter is larger than the reference value for comparison (step S308).

As far as the judgment result of step S308 is concerned, when the current annual average value in the first quarter is greater than the benchmark value for comparison, the data quantification device 200 assigns a negative weighted value (-a, a is a real number, symbol, character, etc.) to calculate the score, and the current quarterly average value in the first quarter is When the annual average value is less than or equal to the reference value for comparison, a positive weighted value (a) is given to calculate the score (steps S310, S312).

Steps S308 , S310 , and S312 as described above are repeated to calculate quarterly scores for the current year, the previous year, and the next year.

The data quantification device 200 generates a chart based on the scores calculated in the above steps (step S314 ). Specifically, as shown in FIG. 4 , the data quantification device 200 generates a graph representing the current year's total score, the previous year's total score, the next year's total score, and the sum of the next year's total score and the current year's total score, etc. .

Furthermore, the data quantification device 200 generates a graph corresponding to correlation data, for example, index correlation data, and a graph for comparison combining the graphs (step S316 ).

The data is related to the actual performance, the period is quarterly, and the current base date is December 31, 2019 as the benchmark. The operation process of the information management device 100 and the data quantification device 200 is explained as follows.

First, a plurality of information management devices 100 may provide determined actual performance values for each quarter of the current year, predicted values for actual performance for each quarter of the next year, and determined values for actual performance for each quarter of the previous year based on the current base date.

Thus, the data quantification device 200 can calculate the benchmark operating profit, the benchmark current period net profit, etc. as the reference value based on the provided values obtained from the plurality of information management devices 100 .

Then, the data quantification device 200 can give a weighted value by comparing the operating profit of each quarter of the previous year based on the current base date (the operating profit calculated on the basis of the actual performance determination value) and the benchmark operating profit. Calculate the score. Specifically, as far as the data quantification device 200 is concerned, when the quarterly operating profit is greater than the benchmark operating profit, a negative weight (-a) can be assigned to calculate the score, and when the quarterly operating profit is less than or equal to the benchmark operating profit, a positive weight can be assigned If the current net profit of the previous year (the current net profit calculated as the actual performance determination value) is greater than the benchmark current net profit, a negative weighted value (-a) can be assigned to calculate the score , when the current net profit of the quarter is less than or equal to the benchmark current net profit, a positive weighted value (a) can be assigned to calculate the score.

In addition, as far as the data quantification device 200 is concerned, when the quarterly operating profit of the next year (calculated as the actual performance forecast value for the next year) is greater than the base operating profit, a negative weight (-a) can be assigned to calculate the score. When the quarterly operating profit is less than or equal to the benchmark operating profit, a positive weighted value (a) can be assigned to calculate the score. When the current net profit of the next year (calculated as the current net profit of the actual performance forecast value) is greater than the benchmark current net profit A negative weighted value (-a) can be assigned to calculate the score, and a positive weighted value (a) can be assigned to calculate the score when the current net profit of the next quarter is less than or equal to the benchmark current operating profit.

As mentioned above, the data quantification device 200 according to the embodiment of the present invention can calculate the set interval based on the current reference date, for example, the scores of each period of 1 year, 2 years... Scores for each year are obtained by summing the scores, and quantitative charts can be generated based on the calculated scores.

In addition, the data quantification device 200 may also generate a graph comparing the actual performance and the index. Specifically, the data quantification device 200 may also provide comparative data through comparison between an actual performance-related index change graph (provided externally) and a quantified graph, and the comparison data depends on the index change dynamics according to the actual performance.

In addition, combinations of blocks of the accompanying block diagrams and steps of the flowcharts can also be implemented by means of computer program instructions. These computer program instructions can be carried on the processor of a general-purpose computer, a special computer, or other programmable data processing equipment, so that the instructions executed by the processor of the computer or other programmable data processing equipment are generated for executing the block diagram means of the functions described in each block.

In order to realize functions in a specific way, these computer program instructions can also be stored in computer utilization functions or computer interpretation function recording media (or memory) directed to computers or other programmable data processing equipment, therefore, stored in computer utilization functions or computer Deciphering the function recording medium (or memory) instructions can also produce an item of manufacture containing instruction means for performing the functions described in the blocks of the block diagram.

Moreover, the computer program instructions can also be carried on a computer or other programmable data processing equipment, therefore, a series of operation steps are executed on the computer or other programmable data processing equipment, thereby generating a program run by the computer, and running the computer Or other programmable data processing device instructions may also provide steps for performing the functions illustrated in the blocks of the block diagram.

Furthermore, each block may be a module, a segment or a part of code including at least one or more executable instructions for performing a specific logical function. It should also be noted that, in several alternative implementations, the functions noted in the blocks may occur out of the order. For example, two blocks shown in succession may actually run concurrently, or may run in reverse order from time to time, depending on the corresponding function.

The above description is only a preferred feasible embodiment of the present invention, and all equivalent changes made by applying the description of the present invention and the scope of the patent application should be included in the scope of the patent of the present invention.

[this invention] 100: information management device 200: Data quantification device 202: database 210: linkage department 220: Data receiving department 230: Reference value generation unit 240: Fraction Calculation Department 250: Quantitative Department 260: Data Analysis Department S300,S302,S304,S306,S308,S310,S312,S314,S316: steps

FIG. 1 is a diagram showing an overall configuration of a data quantification system based on a definite value and a predicted value according to an embodiment of the present invention. FIG. 2 is a block diagram showing a detailed structure of a data quantification device according to an embodiment of the present invention. FIG. 3 is a flowchart illustrating a process of processing data by a data quantification device according to an embodiment of the present invention. FIG. 4 is an example diagram of a graph for comparison provided by the data quantification device according to the embodiment of the present invention.

S300,S302,S304,S306,S308,S310,S312,S314,S316: steps

Claims (3)

A data quantification method based on a certain value and a predicted value, characterized in that it includes the following steps: the data quantification device collects from at least two or more information management devices and the set previous intervals based on the current date The data corresponding to the determined value of each period, the predicted value and determined value of the current year based on the current date, and the predicted value of each period of the interval that has been set based on the current date; the collection can be compared with the predicted value and the determined value Calculate at least one reference value for comparison based on the provided value, wherein the reference value for comparison is the data quantification device to obtain the provided value from a plurality of information management devices and the number of information management parties that provide the provided value After calculating the average value as the basis, set the average value as the reference value for comparison; through the comparison between the determined value of each interval in the previous interval, the determined value of each period in the current year, and the predicted value of each period in the subsequent interval and the reference value for comparison , assigning weighted values to each period of the current year, the previous interval and the subsequent interval of each period, and quantify the data according to the period and interval by this method; the quantification step includes the following steps: using the previous interval to determine the value, the current Calculate the average value of each period or each interval for the determined value of each period of the year and the predicted value of each period of the subsequent interval; when the calculated average value is greater than the determined value or predicted value of each period, a negative weighting value is assigned, and when the calculated average When the value is less than or equal to the determined value or predicted value of each period, a positive weighting value is given, so as to calculate the scores of each period in the previous interval, the current year and the subsequent interval; calculated based on the scores of each period in the previous interval, the current year and the subsequent interval The aggregate score of the previous interval, the current year and the subsequent interval; Quantitative charts are generated by using the total score and the scores of each period of the previous interval, the current year, and the subsequent interval; the collected data is the actual performance forecast value and confirmed value, and the value provided for comparison is the current net profit and operating profit. The relevant data is Index correlation chart. The data quantification method based on the determined value and the predicted value as described in claim 1 is characterized in that the data quantification method further includes the following steps: obtaining relevant data related to the data provided from outside; generating the Graphs corresponding to related data are included in comparative graphs of quantified graphs. The data quantification method based on the determined value and the predicted value as described in claim 1, wherein the step of generating a reference value for comparison is through the data provided by the media that discloses the data related to the provided value on the Internet The analysis is performed to collect provided values, and based on the collected provided values, a reference value for comparison is generated.

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